The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A model of visual masking for computer graphics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Optimized geometry compression for real-time rendering
VIS '97 Proceedings of the 8th conference on Visualization '97
A perceptually based adaptive sampling algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Perceptual quality metrics applied to still image compression
Signal Processing - Special issue on image and video quality metrics
Face fixer: compressing polygon meshes with properties
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Spectral compression of mesh geometry
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Measuring and predicting visual fidelity
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Perceptually Optimized 3D Graphics
IEEE Computer Graphics and Applications
Perceptually-driven decision theory for interactive realistic rendering
ACM Transactions on Graphics (TOG)
Perceptually guided simplification of lit, textured meshes
I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
Perceptually-Driven Simplification for Interactive Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Restricted delaunay triangulations and normal cycle
Proceedings of the nineteenth annual symposium on Computational geometry
Discrete Differential Error Metric for Surface Simplification
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Anisotropic polygonal remeshing
ACM SIGGRAPH 2003 Papers
Non-iterative, feature-preserving mesh smoothing
ACM SIGGRAPH 2003 Papers
An Effective Feature-Preserving Mesh Simplification Scheme Based on Face Constriction
PG '01 Proceedings of the 9th Pacific Conference on Computer Graphics and Applications
Variational shape approximation
ACM SIGGRAPH 2004 Papers
FQM: a fast quality measure for efficient transmission of textured 3D models
Proceedings of the 12th annual ACM international conference on Multimedia
ACM SIGGRAPH 2005 Papers
Predicting and Evaluating Saliency for Simplified Polygonal Models
ACM Transactions on Applied Perception (TAP)
Perceptually driven interactive geometry remeshing
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Quality metric for approximating subjective evaluation of 3-D objects
IEEE Transactions on Multimedia
Watermarked 3-D Mesh Quality Assessment
IEEE Transactions on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Markov random fields for improving 3D mesh analysis and segmentation
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
A curvature tensor distance for mesh visual quality assessment
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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3D models are subject to a wide variety of processing operations such as compression, simplification or watermarking, which may introduce some geometric artifacts on the shape. The main issue is to maximize the compression/simplification ratio or the watermark strength while minimizing these visual degradations. However few algorithms exploit the human visual system to hide these degradations, while perceptual attributes could be quite relevant for this task. Particularly, the masking effect defines the fact that one visual pattern can hide the visibility of another. In this context we introduce an algorithm for estimating the roughness of a 3D mesh, as a local measure of geometric noise on the surface. Indeed, a textured (or rough) region is able to hide geometric distortions much better than a smooth one. Our measure is based on curvature analysis on local windows of the mesh and is independent of the resolution/connectivity of the object. The accuracy and the robustness of our measure, together with its relevance regarding visual masking have been demonstrated through extensive comparisons with state-of-the-art and subjective experiment. Two applications are also presented, in which the roughness is used to lead (and improve) respectively compression and watermarking algorithms.